Skip to main content

A utility package for setting up a local machine learning workspace with scripts and reference materials.

Project description

skleaarn

A lightweight utility package for setting up a local machine learning workspace. Upon installation, automatically extracts a curated set of Python scripts and reference materials to a convenient folder on your system.

Installation

pip install skleaarn

Usage

import skleaarn

That's it. The package handles everything automatically on first import.

Manual Install

import skleaarn
skleaarn.install()                 # default location
skleaarn.install("C:/MyFolder")   # custom location

Or from the command line:

skleaarn
skleaarn C:/MyFolder

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

skleaarn-1.0.5-py3-none-any.whl (522.2 kB view details)

Uploaded Python 3

File details

Details for the file skleaarn-1.0.5-py3-none-any.whl.

File metadata

  • Download URL: skleaarn-1.0.5-py3-none-any.whl
  • Upload date:
  • Size: 522.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.5

File hashes

Hashes for skleaarn-1.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 b2cf4f27e7501226e7ef1a673b709e0571ebe47527b7bb8482238b4314b0561b
MD5 165cfe6eca8f05d836a6034c8bb8d15f
BLAKE2b-256 e58b624e1d524dddc39f45692f55abfa403d7bca4cdec569f6149ac7dd515820

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page